Superheroes of Science Purdue College of Science

Dr. Lindsay Weinberg is a clinical assistant professor in the John Martinson Honors College at Purdue University, and the Director of the Tech Justice Lab. Her research and teaching are at the intersection of science and technology studies, media studies, and feminist studies, with an emphasis on the social and ethical impacts of digital technology.  
 

From “writing code” without knowing code to training models, Professor Tianyi Zhang discusses how Machine Learning and A.I. models work and what they are. He is an Assistant Professor at Purdue University researching Human and Computer Interaction.

In an era of increasing cyber threats, Eugene H. Spafford forges our future in the area of cybersecurity.  Dr. Spafford is a Professor of Computer Science in Purdue University’s College of Science. He explains ethical hacking, social engineering, and the role of cybersecurity professionals in our lives.
 

From how nuclear power works to safety in the industry, Dr. Hitesh Bindra explains nuclear energy.  Hitesh is an Associate Professor at Purdue University’s School of Nuclear Engineering.

Raymond Yeh is an assistant professor in the Department of Computer Sciences at Purdue University. His research is at the intersection of machine learning and computer vision. Specifically, his research focuses on developing algorithms to learn effective and explainable models ranging across several domains including audio, vision, language, and multi-agent systems. 
 

Andres Bejarano began his career wanting to make video games. Today Andres is a computer scientist who is an Assistant Professor of Practice. He researches making natural looking A.I. images and teaches classes at Purdue University.  Automated Algorithm Analysis serves as a powerful tool that enhances the efficiency of computer programs, benefiting humanity in multifaceted ways. At its core, it acts as a digital detective, scrutinizing the inner workings of software to determine how quickly tasks can be accomplished. This vital capability ensures that programs run swiftly and effectively, saving time and resources. The significance of Automated Algorithm Analysis is felt across numerous domains, from healthcare, where it accelerates diagnostic processes, to finance, where it streamlines complex transactions. It aids developers in crafting more efficient software and empowers educators to instill critical problem-solving skills in future computer scientists. Ultimately, this technology plays a pivotal role in our daily lives, making the digital world more responsive, intelligent, and beneficial for all.